As explained in this Edraw article, every data visual has one of the five key objectives—distribution, composition, relationship, trend and comparison. • Distribution: The visuals show how ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

With that, we knew it was time to get visual. I reviewed this series of studies, spanning more than two decades, and wondered how it could be turned into a data visualization that fit on one ...

There is a data revolution happening across the globe. From academics to politics, and everywhere in between, the world's stories are being told through their datapoints. And, while using ...

Data visualisation and visual analytics techniques play an essential role in interpreting complex, high-dimensional information. By transforming raw data into graphical representations, these ...

Data visualization takes your data (numbers) and places it in a visual context, such as a chart, graph, or map. It also helps create data stories that communicate insights with clarity.

When examining data that has explicit class labels, t-SNE usually does not include the labels as part of the source. As with the demo, class labels are typically used just to verify t-SNE ...

Big data may be cool, but its not pretty. Visual.ly, a startup focused on data visualizations and infographics, has raised a new $2 million round of funding, the company has confirmed to ...